Thermal imaging with satellites

Christoph Rieke
3 min readAug 1, 2021


Recent funding rounds of startups focused on thermal remote sensing made me much more curious about this field. Here is a quick introduction to thermal imaging, applications and thermal satellite startups.

Thermal imaging

We have all seen some examples of on the ground thermal imaging, e.g. to inspect building insulation or a spy popping on thermal vision googles in the movies. Usual applications are surveillance, health screening, firefighting efforts, detection of overheating and insulation leaks in infrastructure etc.

Thermal images of different objects — Phase1 Machine Vision Blog

Thermal imaging sensors measure the amount of infrared radiation from an object. All objects above -273°C (absolute zero temperature) emit infrared radiation by themselves, and additionally reflect and transmit some radiation that originates from other objects. The warmer an object is, the more thermal radiation it emits. Thus, objects can be distinguished via thermal imaging even at night, without visible light.

Thermal cameras measure the thermal radiation and can give an interpreted estimate of the emission, reflection & transmission components. These cameras are usually much lower resolution compared to regular optical cameras. This is because, due to the longer wavelength and thus lower energy of the thermal signal, each pixel sensor unit cell on the sensor needs to be a lot bigger to capture the signal accurately.

Thermal in Earth Observation

Applications of thermal imaging in Earth observation are e.g. the monitoring of droughts, wildfire, urban heat islands, agriculture, weather and climate. Multiple existing satellites carry sensors with thermal bands, e.g. Landsat, MODIS, Sentinel-3, AVHRR. However, the temporal and spatial resolution is low (100m for Landsat 8) and for none of these missions, thermal imaging is really the focus. Thermal data from sensors strapped to airplanes (and increasingly UAVs) can reach much higher resolution of up to a few meters, but aerial campaigns are expensive and often not scalable for regular monitoring of many varied locations.

Comparison RGB composite and thermal infrared — Kilauea Volcano via Landsat 7 (top) — Sacramento, CA via airplane campaign (bottom) — Kuenzer: Thermal Remote Sensing

The most common product when working with thermal remote sensing data is the Land Surface Temperature (LST).

Land Surface Temperature in Tokyo from Landsat8, with the indicated location of the 2021 Tokyo Olympic facilities — Stevens / NASA Earth Observatory

LST gives the temperature of Earth’s surface from the satellite perspective (can be ground, can be a building roof). It is different from the air temperature that is usually given in weather reports. Algorithms to derive LST from the raw thermal infrared sensor data generally involve conversion to top-of-atmosphere radiance, brightness temperature and incorporating some vegetation cover estimate. Some methods also try to model LST indirectly from non-thermal satellite sensor measurements, e.g. VanderSat LST product which incorporates SAR data.

Thermal satellite startups

Recently, multiple interesting thermal satellite startups have received funding rounds. They all have in common that they want to build small-sat constellations with thermal imaging sensors and tackle the limitations of existing thermal imaging capabilities via satellite. They combine this with analytics services for their domain.

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